What are the hardware requirements for Ling 3.0 Flash Int4?

Ling 3.0 Flash Int4 requires approximately 77.6 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ling 3.0 Flash Int4 and how large is it?

Ling 3.0 Flash Int4 is developed by inclusionAI, a model with 127.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Ling 3.0 Flash Int4 perform on standard benchmarks?

Ling 3.0 Flash Int4 has the following published scores: LMSYS ELO 1458. Compare against reference models on this page or on the LLM Explorer leaderboards.

Ling 3.0 Flash Int4 by inclusionAI — VRAM 77.6GB, 256K context

Name: Ling 3.0 Flash Int4
Author: inclusionAI

Ling 3.0 Flash Int4 is an open-source language model by inclusionAI. Features: 127.5b LLM, VRAM: 77.6GB, Context: 256K, License: mit, LLM Explorer Score: 0.44, ELO: 1458.

Bailing hybrid Compressed-tensors Conversational Custom code Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ling-3.0-flash-int4

Ling 3.0 Flash Int4 Benchmarks

LMSys ELO 1458 vs 1272 (so35) 14.6%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Ling 3.0 Flash Int4 Parameters and Internals

LLM Name	Ling 3.0 Flash Int4
Repository 🤗	https://huggingface.co/inclusionAI/Ling-3.0-flash-int4
Model Size	127.5b
Required VRAM	77.6 GB
Updated	2026-08-08
Maintainer	inclusionAI
Model Type	bailing_hybrid
Model Files	8.3 GB: 1-of-24 3.0 GB: 2-of-24 3.0 GB: 3-of-24 3.0 GB: 4-of-24 3.0 GB: 5-of-24 3.0 GB: 6-of-24 3.0 GB: 7-of-24 3.0 GB: 8-of-24 3.0 GB: 9-of-24 3.0 GB: 10-of-24 3.0 GB: 11-of-24 3.0 GB: 12-of-24 3.0 GB: 13-of-24 3.0 GB: 14-of-24 3.0 GB: 15-of-24 3.0 GB: 16-of-24 3.0 GB: 17-of-24 3.0 GB: 18-of-24 3.0 GB: 19-of-24 3.0 GB: 20-of-24 3.0 GB: 21-of-24 3.0 GB: 22-of-24 3.0 GB: 23-of-24 3.3 GB: 24-of-24
Model Architecture	BailingMoeV3ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.45.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	157184
Torch Data Type	bfloat16

Rank the Ling 3.0 Flash Int4 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Ling 3.0 Flash Int4

Best Alternatives	Context / RAM	Downloads	Likes
Ling 3.0 Flash	256K / 254.5 GB	4189	213
Ling 3.0 Flash Fin	256K / 186 GB	342	59
Ling 3.0 Flash Fp8	256K / 129.3 GB	1395	26
Ling 3.0 Flash Base Midtrain	256K / 255.9 GB	1155	5
Ling 3.0 Flash Base	256K / 255.9 GB	1192	4
Ling 3.0 Flash CIRU IU4	256K / 77.6 GB	454	5
Ling 3.0 Flash Heretic	256K / 255 GB	207	1
Ling 3.0 Flash Fin Int4	256K / 58.6 GB	47	1
Ling 3.0 Flash Fin Fp8	256K / 94.9 GB	38	1
...0 Flash CIRU Int4 Strix Native	256K / 77.6 GB	47	7

Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ling-3.0-flash-int4.